Abstract: This study investigated the use of FY-4B satellite data to identify suitable conditions for cold cloud seeding during an aircraft operation conducted in spring 2024 over the Danjiangkou basin, China. Key findings are as follows: (1) FY-4B cloud parameters revealed that the target cloud was a cold–warm mixed cloud with natural precipitation potential, suitable for cold cloud seeding; (2) the average temperature difference between in situ aircraft-measured temperature and satellite-retrieved cloud-top temperature was smaller inside the cloud (21.94°C) than outside the cloud (26.30°C). Furthermore, as cloud types transitioned from supercooled water to mixed-phase and to ice clouds, and as cloud optical thickness increased, this average temperature difference during in-cloud flights gradually increased, but remained consistently smaller than that outside the cloud; (3) correlations between aircraft-measured supercooled water and FY-4B cloud parameters were analyzed to develop an identification method for potential supercooled water areas based on multiparameter thresholds. Post-seeding analysis of multisource observations confirmed that the aircraft cloud seeding was primarily conducted within these identified potential supercooled water areas and yielded measurable effects.